ArticleNetwork neuroscience (Cambridge, Mass.)2020
Multisensory integration in the mouse cortical connectome using a network diffusion model.
Article in Network neuroscience (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Brain network communication: concepts, models and applications.Nature reviews. Neuroscience · 2023Review
- Reaction-diffusion models in weighted and directed connectomes.PLoS computational biology · 2022Article
- Functional (ir)Relevance of Posterior Parietal Cortex during Audiovisual Change Detection.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Differential distribution of inhibitory neuron types in subregions of claustrum and dorsal endopiriform nucleus of the short-tailed fruit bat.Brain structure & function · 2022Article
- Hearing, touching, and multisensory integration during mate choice.Frontiers in neural circuits · 2022Review
- Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex.Frontiers in computational neuroscience · 2022Article
- Article
- Editorial: Network Communication in the Brain.Network neuroscience (Cambridge, Mass.) · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Having a structural network representation of connectivity in the brain is instrumental in analyzing communication dynamics and neural information processing. In this work, we make steps towards understanding multisensory information flow and integration using a network diffusion approach. In particular, we model the flow of evoked activity, initiated by stimuli at primary sensory regions, using the asynchronous linear threshold (ALT) diffusion model. The ALT model captures how evoked activity that originates at a given region of the cortex "ripples through" other brain regions (referred to as an
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